Main Article Content
Knowledge graphs are progressively important source of data and context information in many fields especially in Data Science; there is no doubt that the first step in data analysis is data exploration in which visualization plays an important role; Data visualization has become significant research challenge involving several issues related to storing, querying, indexing, visual presentation, interaction data . The Semantic Web Resource Description Framework (RDF) describes metadata that aims to make the Web content not only machine-readable but also machine-understandable; this paper outline of Graph-based Visualization Systems overview and proposes Visualizing interactive RDF and knowledge Graphs Framework to support analysis decision.
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